Qwen2.5 Coder 7B Instruct
Qwen2.5-Coder-7B-Instruct is a 7B parameter instruction-tuned language model optimized for code-related tasks such as code generation, reasoning, and bug fixing. Based on the Qwen2.5 architecture, it incorporates enhancements like RoPE, SwiGLU, RMSNorm, and GQA attention with support for up to 128K tokens using YaRN-based extrapolation.
Input
Output
Context
33K
Max Output
8K
Parameters
7B
Technical Specifications
Model TypeChat
Context Window33K
Max Output Tokens8K
Parameters7B
Training Cutoff—
Licenseapache-2.0
Capabilities
Input Modalities
text
Output Modalities
text
Features
code_completioncode_generationcode_reviewfunction_callingstreaming
Resources & Links
Estimated GPU Requirements for Qwen2.5 Coder 7B Instruct
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: May 5, 2026
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